"Computational Imaging for Chip-scale Microscopy and
X-ray Scattering Imaging" by Shuo Pang
Thursday, April 10, 2014 11:00 AM to 12:00 PM
CREOL Room 102
CREOL Room 102
Shuo Pang
Abstract:
Imaging technology has been an important tool in scientific
research as well as addressing the needs in healthcare, security, and
manufacturing. Imaging systems project real-world, multi-dimensional signals
onto the measurement space of the sensors. Computational Imaging is concerned
with optimizing the measurement basis in order to maximize the specific
information of interest while minimizing system resources. In this talk I will
demonstrate the capabilities of Computational Imaging using two examples, namely
low-cost fluorescence microscopy and high-throughput X-ray scattering imaging.
The Fluorescence Talbot Microscope (FTM) is a portable
fluorescence microscopy platform on a low-cost CMOS imaging sensors (~ $2).
Because of its potential for inexpensive mass production, the FTM is a viable
tool for low-resource setting diagnosis.
Coded Aperture X-ray Scattering Imaging (CAXSI) system
taking multiplexed measurements can greatly improve the imaging speed while
providing material-specific scattering signature. CAXSI is a promising
technology for high-throughput checkpoint baggage scanners.
Biography:
Shuo Pang is a Postdoctoral Fellow in the department of
Electrical and Computer Engineering at Duke University. He received his Ph.D.
degree in Electrical Engineering from California Institute of Technology in
2013. He is the first author of 7 peer-reviewed journal
publications in biomedical optics and micro/nano technologies,
and has 2 patents (5 pending) in imaging devices. His current
research interests include creating novel imaging systems in the visible and
x-ray regime using computational methods.
For additional information:
Dr. M.G. Jim Moharam
Professor of Optics
407-823-6833
moharam AT creol DOT ucf DOT edu
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